system
The information retrieval system addresses inefficiencies in searching organizational materials by using AI to index and recommend documents and videos, enhancing search efficiency and productivity through personalized suggestions.
JP2026107355APending Publication Date: 2026-06-30SOFTBANK GROUP CORP
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Patent Information
- Application Number
- JP2024222452
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Conventional systems are time-consuming and inefficient in searching for materials and videos shared within an organization, making it difficult to quickly find necessary information.
Method used
An information retrieval system comprising an indexing unit, reception unit, suggestion unit, and provision unit, which automatically indexes documents and videos, analyzes user search queries, and provides personalized recommendations based on work content and job duties using AI and generative models.
Benefits of technology
The system efficiently searches and provides relevant documents and videos, reducing time and stress, and improving productivity by learning from past searches and browsing history.
✦ Generated by Eureka AI based on patent content.
Abstract
The system according to this embodiment aims to quickly and efficiently search for documents and videos shared within an organization and provide the necessary information. [Solution] The system according to the embodiment comprises an indexing unit, a reception unit, a suggestion unit, and a provision unit. The indexing unit indexes materials and videos. The reception unit receives user search queries. The suggestion unit suggests appropriate materials and videos based on the search queries received by the reception unit. The provision unit provides the materials and videos suggested by the suggestion unit to the user.
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